Mistral Large 2407 vs Palmyra X4
Mistral Large 2407 comes out ahead, 28 to 25 on our weighted score, and it is the cheaper option too.
- Our pick
Mistral AIMistral Large 2407
28/100- ECI127.6
- Price$2.00 / $6.00
- Context131K
Writer
Palmyra X4
25/100- ECI—
- Price$2.50 / $10.00
- Context128K
Add a model
Make it a three-way comparison.
Mistral Large 2407 is our pick
Mistral Large 2407 is the better all-round choice, scoring 28/100 against Palmyra X4 (25). It leads on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMistral Large 2407Mistral Large 2407 $3.00 · Palmyra X4 $4.38 per 1M tokens (3:1 blend)
- Longest contextMistral Large 2407Mistral Large 2407 131,072 · Palmyra X4 128,000 tokens
- Widest inputsMistral Large 2407Mistral Large 2407: Text, PDFs · Palmyra X4: Text
- Self-hostingMistral Large 2407Publishes downloadable weights
| Measure | Weight | Mistral Large 2407 | Palmyra X4 |
|---|---|---|---|
| Price | 50% | 26 | 19 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 25 | 24 |
| Overall | 100% | 28/100 | 25/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mistral Large 2407Mistral AI | Palmyra X4Writer |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 127.6 | — |
| ECI rank | #144 of 165 | — |
| GPQA DiamondGraduate-level science questions | 49.0% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 8.5% | — |
| Price per million tokens | ||
| Input | $2.00 (best) | $2.50 |
| Output | $6.00 (best) | $10.00 |
| Cached input | — | — |
| Blended (3:1) | $3.00 (best) | $4.38 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 5 providers | Median of 2 providers |
| Limits | ||
| Context window | 131,072 tokens (best) | 128,000 tokens |
| Max output | 104,857 tokens (best) | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | Yes | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | — | — |
| API providers | 5 (best) | 2 |
| Released | Jul 24, 2024 | Oct 9, 2024 |
| Knowledge cutoff | Mar 31, 2024 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Mistral Large 2407$32.00
- Palmyra X4$45.00
Which should you choose?
Which is better: Mistral Large 2407 or Palmyra X4?
Mistral Large 2407 is the better all-round choice, scoring 28/100 against Palmyra X4 (25). It leads on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Mistral Large 2407 or Palmyra X4?
Mistral Large 2407 is cheaper at $2.00 input / $6.00 output per million tokens (median across 5 API providers). Palmyra X4 costs $2.50 input / $10.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $3.00 per million tokens for Mistral Large 2407 versus $4.38 for Palmyra X4 (1.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Mistral Large 2407 has an ECI of 127.6 and Palmyra X4 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Large 2407 and Palmyra X4 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Mistral Large 2407 has the largest context window at 131,072 tokens, against 128,000 for Palmyra X4. Maximum output per response: Mistral Large 2407 up to 104,857, Palmyra X4 up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Mistral Large 2407 accepts text and PDFs; Palmyra X4 accepts text. Mistral Large 2407 handles the widest range of inputs.
Are any of these open source?
Mistral Large 2407 publishes its weights and can be self-hosted; Palmyra X4 is proprietary.
Which is newer?
Palmyra X4 is the newest, released Oct 9, 2024. Mistral Large 2407 came out Jul 24, 2024. Knowledge cutoff: Mistral Large 2407 Mar 31, 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
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